TY - JOUR
T1 - Association Between Diabetes and Gray Matter Atrophy Patterns in a General Older Japanese Population
T2 - The Hisayama Study
AU - Hirabayashi, Naoki
AU - Hata, Jun
AU - Furuta, Yoshihiko
AU - Ohara, Tomoyuki
AU - Shibata, Mao
AU - Hirakawa, Yoichiro
AU - Yamashita, Fumio
AU - Yoshihara, Kazufumi
AU - Kitazono, Takanari
AU - Sudo, Nobuyuki
AU - Ninomiya, Toshiharu
N1 - Funding Information:
Acknowledgments. The authors thank the staff members of the Division of Health of Hisayama for cooperation in this study. The statistical analyses using SAS software were performed using the computers offered under the category of General Projects by the Research Institute for Information Technology, Kyushu University. Funding. This study was supported in part by the Ministry of Education, Culture, Sports, Science and Technology of Japan (Japan Society for the Promotion of Science KAKENHI grants JP21H03200, JP19K07890, JP20K10503, JP20K11020, JP21K07522, JP21K11725, JP21K10448, JP18K15391, JP18K17925, and JP20K16524), a Ministry of Health, Labour and Welfare of Japan Health and Labour Sciences research grant (JPMH20FA1002), and the Japan Agency for Medical Research and Development (JP21dk0207053). Duality of Interest. No potential conflicts of interest relevant to this article were reported. Author Contributions. N.H. contributed to the study concept, data collection, interpretation of data, statistical analysis, MRI analysis, and drafting of the manuscript. J.H. contributed to the study concept, data collection, interpretation of data, and revision of the manuscript. Y.F., T.O., M.S., and Y.H. contributed to the data collection and interpretation of data. F.Y. was a technical advisor on MRI analysis and contributed to revision of the manuscript. K.Y., T.K., and N.S. contributed to the interpretation of data and revision of the manuscript. T.N. was the chief investigator of the Hisayama Study and contributed to the study concept, data collection, interpretation of data, revision of the manuscript, and acquisition of funding. All authors critically reviewed the manuscript and approved the final version. J.H. is the guarantor of this work and, as such, had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Publisher Copyright:
© 2022 by the American Diabetes Association.
PY - 2022/6
Y1 - 2022/6
N2 - OBJECTIVE To examine the association between diabetes and gray matter atrophy patterns in a general older Japanese population. RESEARCH DESIGN AND METHODS In 2012, a total of 1,189 community-dwelling Japanese aged ≥65 years underwent brain MRI scans. Regional gray matter volumes (GMV) and intracranial volume (ICV) were measured by applying voxel-based morphometry (VBM) methods. The associations of diabetes and related parameters with the regional GMV/ICV were examined using an ANCOVA. The regional gray matter atrophy patterns in the subjects with diabetes or elevated fasting plasma glucose (FPG) or 2-h postload glucose (2hPG) levels were investigated using VBM. RESULTS Subjects with diabetes had significantly lower mean values of GMV/ICV in the frontal lobe, temporal lobe, insula, deep gray matter structures, and cerebellum than subjects without diabetes after adjusting for potential confounders. A longer duration of diabetes was also significantly associated with lower mean values of GMV/ICV in these brain regions. The multivariable-adjusted mean values of the temporal, insular, and deep GMV/ICV decreased significantly with elevating 2hPG levels, whereas higher FPG levels were not significantly associated with GMV/ICV of any brain regions. In the VBM analysis, diabetes was associated with gray matter atrophy in the bilateral superior temporal gyri, right middle temporal gyrus, left inferior temporal gyrus, right middle frontal gyrus, bilateral thalami, right caudate, and right cerebellum. CONCLUSIONS The current study suggests that a longer duration of diabetes and elevated 2hPG levels are significant risk factors for gray matter atrophy in various brain regions.
AB - OBJECTIVE To examine the association between diabetes and gray matter atrophy patterns in a general older Japanese population. RESEARCH DESIGN AND METHODS In 2012, a total of 1,189 community-dwelling Japanese aged ≥65 years underwent brain MRI scans. Regional gray matter volumes (GMV) and intracranial volume (ICV) were measured by applying voxel-based morphometry (VBM) methods. The associations of diabetes and related parameters with the regional GMV/ICV were examined using an ANCOVA. The regional gray matter atrophy patterns in the subjects with diabetes or elevated fasting plasma glucose (FPG) or 2-h postload glucose (2hPG) levels were investigated using VBM. RESULTS Subjects with diabetes had significantly lower mean values of GMV/ICV in the frontal lobe, temporal lobe, insula, deep gray matter structures, and cerebellum than subjects without diabetes after adjusting for potential confounders. A longer duration of diabetes was also significantly associated with lower mean values of GMV/ICV in these brain regions. The multivariable-adjusted mean values of the temporal, insular, and deep GMV/ICV decreased significantly with elevating 2hPG levels, whereas higher FPG levels were not significantly associated with GMV/ICV of any brain regions. In the VBM analysis, diabetes was associated with gray matter atrophy in the bilateral superior temporal gyri, right middle temporal gyrus, left inferior temporal gyrus, right middle frontal gyrus, bilateral thalami, right caudate, and right cerebellum. CONCLUSIONS The current study suggests that a longer duration of diabetes and elevated 2hPG levels are significant risk factors for gray matter atrophy in various brain regions.
UR - http://www.scopus.com/inward/record.url?scp=85131270718&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85131270718&partnerID=8YFLogxK
U2 - 10.2337/dc21-1911
DO - 10.2337/dc21-1911
M3 - Article
C2 - 35500069
AN - SCOPUS:85131270718
SN - 1935-5548
VL - 45
SP - 1364
EP - 1371
JO - Diabetes Care
JF - Diabetes Care
IS - 6
ER -
